Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	22856
Missing cells	59540
Missing cells (%)	7.9%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	5.8 MiB
Average record size in memory	264.0 B

Variable types

Categorical	24
Numeric	9

Alerts

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`사용유형명` has a high cardinality: 101 distinct values	High cardinality
`예약자평균값` has a high cardinality: 116 distinct values	High cardinality
`예약자사용성향값` has a high cardinality: 236 distinct values	High cardinality
`예약년월일` has a high cardinality: 592 distinct values	High cardinality
`사용년월일` has a high cardinality: 633 distinct values	High cardinality
`사용일자` is highly correlated with `비거주자금액` and 1 other fields	High correlation
`거주자금액` is highly correlated with `비거주자금액`	High correlation
`비거주자금액` is highly correlated with `사용일자` and 2 other fields	High correlation
`거주자인원수` is highly correlated with `비거주자인원수`	High correlation
`비거주자인원수` is highly correlated with `거주자인원수`	High correlation
`예약일자` is highly correlated with `사용일자` and 1 other fields	High correlation
`예약시간` is highly correlated with `예약시간(시)`	High correlation
`예약시간(시)` is highly correlated with `예약시간`	High correlation
`사용일자` is highly correlated with `비거주자금액` and 1 other fields	High correlation
`거주자금액` is highly correlated with `비거주자금액`	High correlation
`비거주자금액` is highly correlated with `사용일자` and 2 other fields	High correlation
`거주자인원수` is highly correlated with `비거주자인원수`	High correlation
`비거주자인원수` is highly correlated with `거주자인원수`	High correlation
`예약일자` is highly correlated with `사용일자` and 1 other fields	High correlation
`예약시간` is highly correlated with `예약시간(시)`	High correlation
`예약시간(시)` is highly correlated with `예약시간`	High correlation
`사용일자` is highly correlated with `비거주자금액` and 1 other fields	High correlation
`거주자금액` is highly correlated with `비거주자금액`	High correlation
`비거주자금액` is highly correlated with `사용일자` and 2 other fields	High correlation
`거주자인원수` is highly correlated with `비거주자인원수`	High correlation
`비거주자인원수` is highly correlated with `거주자인원수`	High correlation
`예약일자` is highly correlated with `사용일자` and 1 other fields	High correlation
`예약시간` is highly correlated with `예약시간(시)`	High correlation
`예약시간(시)` is highly correlated with `예약시간`	High correlation
`거주자인원수` is highly correlated with `비거주자인원수`	High correlation
`골프장멤버십값` is highly correlated with `골프장지역명` and 3 other fields	High correlation
`결제수단명` is highly correlated with `골프장지역명` and 2 other fields	High correlation
`골프장지역명` is highly correlated with `골프장멤버십값` and 4 other fields	High correlation
`비거주자인원수` is highly correlated with `거주자인원수`	High correlation
`골프장유형값` is highly correlated with `골프장멤버십값` and 3 other fields	High correlation
`골프장명` is highly correlated with `골프장멤버십값` and 4 other fields	High correlation
`비거주자나눔` is highly correlated with `해당년도`	High correlation
`판매업체명` is highly correlated with `골프장멤버십값` and 4 other fields	High correlation
`해당년도` is highly correlated with `비거주자나눔`	High correlation
`골프장명` is highly correlated with `골프장지역명` and 11 other fields	High correlation
`골프장지역명` is highly correlated with `골프장명` and 5 other fields	High correlation
`골프장멤버십값` is highly correlated with `골프장명` and 5 other fields	High correlation
`골프장유형값` is highly correlated with `골프장명` and 5 other fields	High correlation
`사용일자` is highly correlated with `골프장명` and 5 other fields	High correlation
`사용시간값` is highly correlated with `골프장명` and 4 other fields	High correlation
`거주자금액` is highly correlated with `비거주자금액` and 1 other fields	High correlation
`비거주자금액` is highly correlated with `골프장명` and 6 other fields	High correlation
`결제수단명` is highly correlated with `골프장명` and 2 other fields	High correlation
`거주자인원수` is highly correlated with `비거주자인원수`	High correlation
`비거주자인원수` is highly correlated with `거주자인원수`	High correlation
`예약일자` is highly correlated with `골프장명` and 5 other fields	High correlation
`예약시간` is highly correlated with `예약시간(시)` and 1 other fields	High correlation
`판매업체명` is highly correlated with `골프장명` and 10 other fields	High correlation
`해당년도` is highly correlated with `골프장명` and 4 other fields	High correlation
`거주자금액나눔` is highly correlated with `골프장명` and 6 other fields	High correlation
`비거주자나눔` is highly correlated with `골프장명` and 10 other fields	High correlation
`날짜차이` is highly correlated with `날짜차이요일`	High correlation
`날짜차이요일` is highly correlated with `날짜차이`	High correlation
`예약시간(시)` is highly correlated with `예약시간` and 1 other fields	High correlation
`예약시간대별` is highly correlated with `예약시간` and 1 other fields	High correlation
`사용일통계` is highly correlated with `사용시간값`	High correlation
`예약자연령대코드` has 7605 (33.3%) missing values	Missing
`예약자평균값` has 11299 (49.4%) missing values	Missing
`예약자골프경력값` has 13356 (58.4%) missing values	Missing
`예약자평균사용값` has 13358 (58.4%) missing values	Missing
`예약자사용성향값` has 13918 (60.9%) missing values	Missing
`비거주자금액` has 5799 (25.4%) zeros	Zeros
`예약시간(시)` has 231 (1.0%) zeros	Zeros

Reproduction

Analysis started	2022-03-17 00:37:18.117752
Analysis finished	2022-03-17 00:37:33.322579
Duration	15.2 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

골프장명
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	19
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

라온GC	6814
아덴힐GC	5221
더클래식CC	3847
해비치CC	3468
타미우스CC	789
Other values (14)	2717

Length

Max length	14
Median length	5
Mean length	5.237443122
Min length	4

Characters and Unicode

Total characters	119707
Distinct characters	58
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	아덴힐GC
2nd row	라온GC
3rd row	그린필드CC
4th row	라온GC
5th row	그린필드CC

Common Values

Value	Count	Frequency (%)
라온GC	6814	29.8%
아덴힐GC	5221	22.8%
더클래식CC	3847	16.8%
해비치CC	3468	15.2%
타미우스CC	789	3.5%
사이프러스CC	561	2.5%
오라CC	527	2.3%
그린필드CC(구 제피로스)	488	2.1%
롯데스카이힐제주CC	401	1.8%
제주CC	235	1.0%
Other values (9)	505	2.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
라온gc	6814	29.2%
아덴힐gc	5221	22.4%
더클래식cc	3847	16.5%
해비치cc	3468	14.9%
타미우스cc	789	3.4%
사이프러스cc	561	2.4%
오라cc	527	2.3%
그린필드cc(구	488	2.1%
제피로스	488	2.1%
롯데스카이힐제주cc	401	1.7%
Other values (10)	740	3.2%

Most occurring characters

Value	Count	Frequency (%)
C	33662	28.1%
G	12050	10.1%
라	7454	6.2%
온	6814	5.7%
힐	5622	4.7%
아	5221	4.4%
덴	5221	4.4%
식	3847	3.2%
래	3847	3.2%
클	3847	3.2%
Other values (48)	32122	26.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	72004	60.2%
Uppercase Letter	45712	38.2%
Space Separator	1015	0.8%
Close Punctuation	488	0.4%
Open Punctuation	488	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
라	7454	10.4%
온	6814	9.5%
힐	5622	7.8%
아	5221	7.3%
덴	5221	7.3%
식	3847	5.3%
래	3847	5.3%
클	3847	5.3%
더	3847	5.3%
해	3468	4.8%
Other values (43)	22816	31.7%

Uppercase Letter

Value	Count	Frequency (%)
C	33662	73.6%
G	12050	26.4%

Space Separator

Value	Count	Frequency (%)
	1015	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	488	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	488	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	72004	60.2%
Latin	45712	38.2%
Common	1991	1.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
라	7454	10.4%
온	6814	9.5%
힐	5622	7.8%
아	5221	7.3%
덴	5221	7.3%
식	3847	5.3%
래	3847	5.3%
클	3847	5.3%
더	3847	5.3%
해	3468	4.8%
Other values (43)	22816	31.7%

Common

Value	Count	Frequency (%)
	1015	51.0%
)	488	24.5%
(	488	24.5%

Latin

Value	Count	Frequency (%)
C	33662	73.6%
G	12050	26.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	72004	60.2%
ASCII	47703	39.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	33662	70.6%
G	12050	25.3%
	1015	2.1%
)	488	1.0%
(	488	1.0%

Hangul

Value	Count	Frequency (%)
라	7454	10.4%
온	6814	9.5%
힐	5622	7.8%
아	5221	7.3%
덴	5221	7.3%
식	3847	5.3%
래	3847	5.3%
클	3847	5.3%
더	3847	5.3%
해	3468	4.8%
Other values (43)	22816	31.7%

골프장지역명
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

서부권	12960
동부권	8155
제주시권	1269
서귀포권	437
제주시내권	35

Length

Max length	5
Median length	3
Mean length	3.077703885
Min length	3

Characters and Unicode

Total characters	70344
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	서부권
2nd row	서부권
3rd row	제주시내권
4th row	서부권
5th row	제주시내권

Common Values

Value	Count	Frequency (%)
서부권	12960	56.7%
동부권	8155	35.7%
제주시권	1269	5.6%
서귀포권	437	1.9%
제주시내권	35	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
서부권	12960	56.7%
동부권	8155	35.7%
제주시권	1269	5.6%
서귀포권	437	1.9%
제주시내권	35	0.2%

Most occurring characters

Value	Count	Frequency (%)
권	22856	32.5%
부	21115	30.0%
서	13397	19.0%
동	8155	11.6%
제	1304	1.9%
주	1304	1.9%
시	1304	1.9%
귀	437	0.6%
포	437	0.6%
내	35	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	70344	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
권	22856	32.5%
부	21115	30.0%
서	13397	19.0%
동	8155	11.6%
제	1304	1.9%
주	1304	1.9%
시	1304	1.9%
귀	437	0.6%
포	437	0.6%
내	35	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	70344	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
권	22856	32.5%
부	21115	30.0%
서	13397	19.0%
동	8155	11.6%
제	1304	1.9%
주	1304	1.9%
시	1304	1.9%
귀	437	0.6%
포	437	0.6%
내	35	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	70344	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
권	22856	32.5%
부	21115	30.0%
서	13397	19.0%
동	8155	11.6%
제	1304	1.9%
주	1304	1.9%
시	1304	1.9%
귀	437	0.6%
포	437	0.6%
내	35	< 0.1%

골프장멤버십값
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

대중제	16411
회원제+대중제	5093
회원제	1352

Length

Max length	7
Median length	3
Mean length	3.891319566
Min length	3

Characters and Unicode

Total characters	88940
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	대중제
2nd row	대중제
3rd row	회원제
4th row	대중제
5th row	회원제

Common Values

Value	Count	Frequency (%)
대중제	16411	71.8%
회원제+대중제	5093	22.3%
회원제	1352	5.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
대중제	16411	71.8%
회원제+대중제	5093	22.3%
회원제	1352	5.9%

Most occurring characters

Value	Count	Frequency (%)
제	27949	31.4%
대	21504	24.2%
중	21504	24.2%
회	6445	7.2%
원	6445	7.2%
+	5093	5.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	83847	94.3%
Math Symbol	5093	5.7%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
제	27949	33.3%
대	21504	25.6%
중	21504	25.6%
회	6445	7.7%
원	6445	7.7%

Math Symbol

Value	Count	Frequency (%)
+	5093	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	83847	94.3%
Common	5093	5.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
제	27949	33.3%
대	21504	25.6%
중	21504	25.6%
회	6445	7.7%
원	6445	7.7%

Common

Value	Count	Frequency (%)
+	5093	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	83847	94.3%
ASCII	5093	5.7%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
제	27949	33.3%
대	21504	25.6%
중	21504	25.6%
회	6445	7.7%
원	6445	7.7%

ASCII

Value	Count	Frequency (%)
+	5093	100.0%

골프장유형값
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

18	10028
27	7710
36	5118

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	45712
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	18
2nd row	27
3rd row	18
4th row	27
5th row	18

Common Values

Value	Count	Frequency (%)
18	10028	43.9%
27	7710	33.7%
36	5118	22.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
18	10028	43.9%
27	7710	33.7%
36	5118	22.4%

Most occurring characters

Value	Count	Frequency (%)
1	10028	21.9%
8	10028	21.9%
2	7710	16.9%
7	7710	16.9%
3	5118	11.2%
6	5118	11.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	45712	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	10028	21.9%
8	10028	21.9%
2	7710	16.9%
7	7710	16.9%
3	5118	11.2%
6	5118	11.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	45712	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	10028	21.9%
8	10028	21.9%
2	7710	16.9%
7	7710	16.9%
3	5118	11.2%
6	5118	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	45712	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	10028	21.9%
8	10028	21.9%
2	7710	16.9%
7	7710	16.9%
3	5118	11.2%
6	5118	11.2%

사용일자
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	633
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20208089.74

Minimum	20200322
Maximum	20220413
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	20200322
5-th percentile	20200629
Q1	20201119
median	20210602
Q3	20210827
95-th percentile	20211027
Maximum	20220413
Range	20091
Interquartile range (IQR)	9708

Descriptive statistics

Standard deviation	5034.77992
Coefficient of variation (CV)	0.0002491467518
Kurtosis	-0.4641956382
Mean	20208089.74
Median Absolute Deviation (MAD)	322
Skewness	-0.2875018869
Sum	4.618760992 × 10¹¹
Variance	25349008.84
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20210816	198	0.9%
20210922	146	0.6%
20210926	144	0.6%
20210630	138	0.6%
20210924	137	0.6%
20210730	132	0.6%
20210925	130	0.6%
20211011	127	0.6%
20210923	121	0.5%
20210927	118	0.5%
Other values (623)	21465	93.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20200322	1	< 0.1%
20200327	1	< 0.1%
20200328	3	< 0.1%
20200329	4	< 0.1%
20200330	1	< 0.1%
20200403	3	< 0.1%
20200404	3	< 0.1%
20200406	1	< 0.1%
20200407	1	< 0.1%
20200409	2	< 0.1%

Value	Count	Frequency (%)
20220413	1	< 0.1%
20220408	1	< 0.1%
20220407	3	< 0.1%
20220406	5	< 0.1%
20220405	2	< 0.1%
20220404	1	< 0.1%
20220401	4	< 0.1%
20220331	11	< 0.1%
20220330	11	< 0.1%
20220329	17	0.1%

사용시간값
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	412
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	987.4712111

Minimum	101
Maximum	1710
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	101
5-th percentile	659
Q1	735
median	843
Q3	1236
95-th percentile	1406
Maximum	1710
Range	1609
Interquartile range (IQR)	501

Descriptive statistics

Standard deviation	276.7766113
Coefficient of variation (CV)	0.280288284
Kurtosis	-1.198427941
Mean	987.4712111
Median Absolute Deviation (MAD)	143
Skewness	0.4402272353
Sum	22569642
Variance	76605.29254
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
705	361	1.6%
858	321	1.4%
719	318	1.4%
713	286	1.3%
851	282	1.2%
844	278	1.2%
706	268	1.2%
726	267	1.2%
748	259	1.1%
724	234	1.0%
Other values (402)	19982	87.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
101	1	< 0.1%
552	1	< 0.1%
558	3	< 0.1%
605	3	< 0.1%
610	2	< 0.1%
611	3	< 0.1%
616	7	< 0.1%
617	3	< 0.1%
618	3	< 0.1%
620	24	0.1%

Value	Count	Frequency (%)
1710	1	< 0.1%
1703	2	< 0.1%
1657	2	< 0.1%
1650	2	< 0.1%
1643	3	< 0.1%
1636	36	0.2%
1629	132	0.6%
1622	105	0.5%
1615	119	0.5%
1608	124	0.5%

사용유형명
Categorical

HIGH CARDINALITY

Distinct	101
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

LAKE	4111
새별	2626
왕이메	2595
PINE	2392
STONE	2013
Other values (96)	9119

Length

Max length	21
Median length	4
Mean length	4.455372769
Min length	1

Characters and Unicode

Total characters	101832
Distinct characters	103
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	0.1%

Sample

1st row	새별
2nd row	LAKE
3rd row	M
4th row	LAKE
5th row	M

Common Values

Value	Count	Frequency (%)
LAKE	4111	18.0%
새별	2626	11.5%
왕이메	2595	11.4%
PINE	2392	10.5%
STONE	2013	8.8%
대중제(Valley)	1957	8.6%
대중제	1142	5.0%
회원제	951	4.2%
VALLEY	827	3.6%
SKY	566	2.5%
Other values (91)	3676	16.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lake	4111	17.9%
새별	2626	11.5%
왕이메	2595	11.3%
pine	2392	10.4%
stone	2013	8.8%
대중제(valley	1963	8.6%
valley	1181	5.2%
대중제	1152	5.0%
회원제	954	4.2%
sky	566	2.5%
Other values (85)	3358	14.7%

Most occurring characters

Value	Count	Frequency (%)
E	9805	9.6%
L	6184	6.1%
A	5510	5.4%
l	5302	5.2%
제	4921	4.8%
K	4717	4.6%
N	4649	4.6%
중	3823	3.8%
대	3822	3.8%
V	3485	3.4%
Other values (93)	49614	48.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	51474	50.5%
Other Letter	30061	29.5%
Lowercase Letter	14516	14.3%
Close Punctuation	2799	2.7%
Open Punctuation	2799	2.7%
Space Separator	92	0.1%
Math Symbol	42	< 0.1%
Other Punctuation	35	< 0.1%
Decimal Number	9	< 0.1%
Connector Punctuation	5	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
제	4921	16.4%
중	3823	12.7%
대	3822	12.7%
새	2626	8.7%
별	2626	8.7%
메	2595	8.6%
이	2595	8.6%
왕	2595	8.6%
회	1100	3.7%
원	1100	3.7%
Other values (51)	2258	7.5%

Uppercase Letter

Value	Count	Frequency (%)
E	9805	19.0%
L	6184	12.0%
A	5510	10.7%
K	4717	9.2%
N	4649	9.0%
V	3485	6.8%
S	3334	6.5%
P	2746	5.3%
T	2661	5.2%
O	2514	4.9%
Other values (10)	5869	11.4%

Lowercase Letter

Value	Count	Frequency (%)
l	5302	36.5%
a	2686	18.5%
y	2651	18.3%
e	2649	18.2%
s	319	2.2%
o	301	2.1%
t	301	2.1%
r	299	2.1%
n	4	< 0.1%
i	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	3	33.3%
0	3	33.3%
5	1	11.1%
6	1	11.1%
2	1	11.1%

Close Punctuation

Value	Count	Frequency (%)
)	2799	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2799	100.0%

Space Separator

Value	Count	Frequency (%)
	92	100.0%

Math Symbol

Value	Count	Frequency (%)
+	42	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	35	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	65990	64.8%
Hangul	30061	29.5%
Common	5781	5.7%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
제	4921	16.4%
중	3823	12.7%
대	3822	12.7%
새	2626	8.7%
별	2626	8.7%
메	2595	8.6%
이	2595	8.6%
왕	2595	8.6%
회	1100	3.7%
원	1100	3.7%
Other values (51)	2258	7.5%

Latin

Value	Count	Frequency (%)
E	9805	14.9%
L	6184	9.4%
A	5510	8.3%
l	5302	8.0%
K	4717	7.1%
N	4649	7.0%
V	3485	5.3%
S	3334	5.1%
P	2746	4.2%
a	2686	4.1%
Other values (21)	17572	26.6%

Common

Value	Count	Frequency (%)
)	2799	48.4%
(	2799	48.4%
	92	1.6%
+	42	0.7%
/	35	0.6%
_	5	0.1%
1	3	0.1%
0	3	0.1%
5	1	< 0.1%
6	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71771	70.5%
Hangul	30061	29.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	9805	13.7%
L	6184	8.6%
A	5510	7.7%
l	5302	7.4%
K	4717	6.6%
N	4649	6.5%
V	3485	4.9%
S	3334	4.6%
)	2799	3.9%
(	2799	3.9%
Other values (32)	23187	32.3%

Hangul

Value	Count	Frequency (%)
제	4921	16.4%
중	3823	12.7%
대	3822	12.7%
새	2626	8.7%
별	2626	8.7%
메	2595	8.6%
이	2595	8.6%
왕	2595	8.6%
회	1100	3.7%
원	1100	3.7%
Other values (51)	2258	7.5%

거주자금액
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	161
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	115614.4228

Minimum	50000
Maximum	1000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	50000
5-th percentile	65000
Q1	96000
median	110000
Q3	138500
95-th percentile	170000
Maximum	1000000
Range	950000
Interquartile range (IQR)	42500

Descriptive statistics

Standard deviation	34257.77192
Coefficient of variation (CV)	0.2963105388
Kurtosis	96.16511418
Mean	115614.4228
Median Absolute Deviation (MAD)	20000
Skewness	3.997222609
Sum	2642483248
Variance	1173594937
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70000	1630	7.1%
107500	1359	5.9%
100000	1163	5.1%
120000	1047	4.6%
110000	1006	4.4%
105000	873	3.8%
90000	816	3.6%
130000	809	3.5%
160000	593	2.6%
99500	593	2.6%
Other values (151)	12967	56.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50000	55	0.2%
55000	70	0.3%
57500	1	< 0.1%
60000	582	2.5%
65000	436	1.9%
65500	52	0.2%
66000	24	0.1%
67500	6	< 0.1%
70000	1630	7.1%
70500	3	< 0.1%

Value	Count	Frequency (%)
1000000	3	< 0.1%
999999	2	< 0.1%
300000	1	< 0.1%
222500	5	< 0.1%
212500	14	0.1%
210000	14	0.1%
204500	2	< 0.1%
203000	22	0.1%
202500	60	0.3%
202000	1	< 0.1%

비거주자금액
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	114
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	125782.0487

Minimum	0
Maximum	1450002
Zeros	5799
Zeros (%)	25.4%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	154500
Q3	182500
95-th percentile	222500
Maximum	1450002
Range	1450002
Interquartile range (IQR)	182500

Descriptive statistics

Standard deviation	83458.81492
Coefficient of variation (CV)	0.6635192845
Kurtosis	9.619621337
Mean	125782.0487
Median Absolute Deviation (MAD)	45500
Skewness	0.2354926976
Sum	2874874504
Variance	6965373788
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5799	25.4%
182500	3140	13.7%
222500	1519	6.6%
90000	1037	4.5%
160000	916	4.0%
202500	742	3.2%
200000	728	3.2%
190000	659	2.9%
150000	653	2.9%
175000	642	2.8%
Other values (104)	7021	30.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5799	25.4%
80000	412	1.8%
90000	1037	4.5%
95000	3	< 0.1%
100000	364	1.6%
101000	3	< 0.1%
105000	10	< 0.1%
106000	18	0.1%
109000	2	< 0.1%
110000	186	0.8%

Value	Count	Frequency (%)
1450002	3	< 0.1%
1000000	3	< 0.1%
999999	2	< 0.1%
267000	14	0.1%
260000	150	0.7%
250500	3	< 0.1%
235000	9	< 0.1%
230000	472	2.1%
227000	8	< 0.1%
222500	1519	6.6%

결제수단명
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

현장결제	21362
선결제	1494

Length

Max length	4
Median length	4
Mean length	3.934634232
Min length	3

Characters and Unicode

Total characters	89930
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	현장결제
2nd row	현장결제
3rd row	선결제
4th row	현장결제
5th row	선결제

Common Values

Value	Count	Frequency (%)
현장결제	21362	93.5%
선결제	1494	6.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
현장결제	21362	93.5%
선결제	1494	6.5%

Most occurring characters

Value	Count	Frequency (%)
결	22856	25.4%
제	22856	25.4%
현	21362	23.8%
장	21362	23.8%
선	1494	1.7%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	89930	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
결	22856	25.4%
제	22856	25.4%
현	21362	23.8%
장	21362	23.8%
선	1494	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	89930	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
결	22856	25.4%
제	22856	25.4%
현	21362	23.8%
장	21362	23.8%
선	1494	1.7%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	89930	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
결	22856	25.4%
제	22856	25.4%
현	21362	23.8%
장	21362	23.8%
선	1494	1.7%

총인원수
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

4	22535
3	305
2	16

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22856
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	22535	98.6%
3	305	1.3%
2	16	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	22535	98.6%
3	305	1.3%
2	16	0.1%

Most occurring characters

Value	Count	Frequency (%)
4	22535	98.6%
3	305	1.3%
2	16	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22856	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	22535	98.6%
3	305	1.3%
2	16	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	22856	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	22535	98.6%
3	305	1.3%
2	16	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22856	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	22535	98.6%
3	305	1.3%
2	16	0.1%

거주자인원수
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

4	20640
0	676
3	586
2	560
1	394

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22856
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	20640	90.3%
0	676	3.0%
3	586	2.6%
2	560	2.5%
1	394	1.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	20640	90.3%
0	676	3.0%
3	586	2.6%
2	560	2.5%
1	394	1.7%

Most occurring characters

Value	Count	Frequency (%)
4	20640	90.3%
0	676	3.0%
3	586	2.6%
2	560	2.5%
1	394	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22856	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	20640	90.3%
0	676	3.0%
3	586	2.6%
2	560	2.5%
1	394	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	22856	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	20640	90.3%
0	676	3.0%
3	586	2.6%
2	560	2.5%
1	394	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22856	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	20640	90.3%
0	676	3.0%
3	586	2.6%
2	560	2.5%
1	394	1.7%

비거주자인원수
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

0	20879
4	637
2	569
3	399
1	372

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22856
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	20879	91.4%
4	637	2.8%
2	569	2.5%
3	399	1.7%
1	372	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	20879	91.4%
4	637	2.8%
2	569	2.5%
3	399	1.7%
1	372	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	20879	91.4%
4	637	2.8%
2	569	2.5%
3	399	1.7%
1	372	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22856	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	20879	91.4%
4	637	2.8%
2	569	2.5%
3	399	1.7%
1	372	1.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	22856	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	20879	91.4%
4	637	2.8%
2	569	2.5%
3	399	1.7%
1	372	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22856	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	20879	91.4%
4	637	2.8%
2	569	2.5%
3	399	1.7%
1	372	1.6%

예약일자
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	592
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20207971.85

Minimum	20200321
Maximum	20220310
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	20200321
5-th percentile	20200621.75
Q1	20201015
median	20210524
Q3	20210815
95-th percentile	20211014
Maximum	20220310
Range	19989
Interquartile range (IQR)	9800

Descriptive statistics

Standard deviation	5078.018793
Coefficient of variation (CV)	0.0002512878993
Kurtosis	-0.5241791686
Mean	20207971.85
Median Absolute Deviation (MAD)	384
Skewness	-0.2537067006
Sum	4.618734045 × 10¹¹
Variance	25786274.87
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20210721	172	0.8%
20210924	155	0.7%
20210923	146	0.6%
20210831	140	0.6%
20210917	136	0.6%
20210914	133	0.6%
20210902	126	0.6%
20210406	124	0.5%
20210903	124	0.5%
20210802	123	0.5%
Other values (582)	21477	94.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20200321	1	< 0.1%
20200323	3	< 0.1%
20200325	2	< 0.1%
20200326	5	< 0.1%
20200327	2	< 0.1%
20200328	1	< 0.1%
20200329	2	< 0.1%
20200330	1	< 0.1%
20200401	2	< 0.1%
20200402	1	< 0.1%

Value	Count	Frequency (%)
20220310	89	0.4%
20220309	59	0.3%
20220308	103	0.5%
20220307	109	0.5%
20220306	40	0.2%
20220305	57	0.2%
20220304	77	0.3%
20220303	78	0.3%
20220302	96	0.4%
20220301	92	0.4%

예약시간
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	18720
Distinct (%)	81.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	145856.9888

Minimum	5
Maximum	235946
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	5
5-th percentile	80240.5
Q1	113488.25
median	144927
Q3	180416
95-th percentile	215842.25
Maximum	235946
Range	235941
Interquartile range (IQR)	66927.75

Descriptive statistics

Standard deviation	45159.49121
Coefficient of variation (CV)	0.3096148602
Kurtosis	0.2234130454
Mean	145856.9888
Median Absolute Deviation (MAD)	31883.5
Skewness	-0.3530211774
Sum	3333707337
Variance	2039379647
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
94112	5	< 0.1%
181026	5	< 0.1%
201320	5	< 0.1%
155721	5	< 0.1%
94945	5	< 0.1%
111548	5	< 0.1%
104538	5	< 0.1%
103358	5	< 0.1%
105020	5	< 0.1%
105216	5	< 0.1%
Other values (18710)	22806	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	2	< 0.1%
23	2	< 0.1%
25	1	< 0.1%
28	2	< 0.1%
45	1	< 0.1%
104	1	< 0.1%
111	1	< 0.1%
116	1	< 0.1%
138	1	< 0.1%
139	1	< 0.1%

Value	Count	Frequency (%)
235946	1	< 0.1%
235925	1	< 0.1%
235914	1	< 0.1%
235846	1	< 0.1%
235833	1	< 0.1%
235822	2	< 0.1%
235814	1	< 0.1%
235754	1	< 0.1%
235753	1	< 0.1%
235748	1	< 0.1%

판매업체명
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

라온GC	6814
아덴힐GC	5221
섬프로	4504
해비치CC	3379
(주)부민가자투어	697
Other values (8)	2241

Length

Max length	13
Median length	5
Mean length	4.764656983
Min length	3

Characters and Unicode

Total characters	108901
Distinct characters	45
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	아덴힐GC
2nd row	라온GC
3rd row	(주)부민가자투어
4th row	라온GC
5th row	(주)부민가자투어

Common Values

Value	Count	Frequency (%)
라온GC	6814	29.8%
아덴힐GC	5221	22.8%
섬프로	4504	19.7%
해비치CC	3379	14.8%
(주)부민가자투어	697	3.0%
사이프러스CC	561	2.5%
슬기로운골프생활	528	2.3%
섬프로(롯데스카이힐)	399	1.7%
섬프로(타미우스)	362	1.6%
엘리시안C.C	136	0.6%
Other values (3)	255	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
라온gc	6814	29.8%
아덴힐gc	5221	22.8%
섬프로	4504	19.7%
해비치cc	3379	14.8%
주)부민가자투어	697	3.0%
사이프러스cc	561	2.5%
슬기로운골프생활	528	2.3%
섬프로(롯데스카이힐	399	1.7%
섬프로(타미우스	362	1.6%
엘리시안c.c	136	0.6%
Other values (3)	255	1.1%

Most occurring characters

Value	Count	Frequency (%)
C	20377	18.7%
G	12035	11.1%
라	6980	6.4%
온	6814	6.3%
프	6443	5.9%
로	5882	5.4%
힐	5620	5.2%
섬	5354	4.9%
아	5221	4.8%
덴	5221	4.8%
Other values (35)	28954	26.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	72880	66.9%
Uppercase Letter	32412	29.8%
Open Punctuation	1689	1.6%
Close Punctuation	1689	1.6%
Other Punctuation	136	0.1%
Space Separator	95	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
라	6980	9.6%
온	6814	9.3%
프	6443	8.8%
로	5882	8.1%
힐	5620	7.7%
섬	5354	7.3%
아	5221	7.2%
덴	5221	7.2%
비	3468	4.8%
치	3468	4.8%
Other values (29)	18409	25.3%

Uppercase Letter

Value	Count	Frequency (%)
C	20377	62.9%
G	12035	37.1%

Open Punctuation

Value	Count	Frequency (%)
(	1689	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1689	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	136	100.0%

Space Separator

Value	Count	Frequency (%)
	95	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	72880	66.9%
Latin	32412	29.8%
Common	3609	3.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
라	6980	9.6%
온	6814	9.3%
프	6443	8.8%
로	5882	8.1%
힐	5620	7.7%
섬	5354	7.3%
아	5221	7.2%
덴	5221	7.2%
비	3468	4.8%
치	3468	4.8%
Other values (29)	18409	25.3%

Common

Value	Count	Frequency (%)
(	1689	46.8%
)	1689	46.8%
.	136	3.8%
	95	2.6%

Latin

Value	Count	Frequency (%)
C	20377	62.9%
G	12035	37.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	72880	66.9%
ASCII	36021	33.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	20377	56.6%
G	12035	33.4%
(	1689	4.7%
)	1689	4.7%
.	136	0.4%
	95	0.3%

Hangul

Value	Count	Frequency (%)
라	6980	9.6%
온	6814	9.3%
프	6443	8.8%
로	5882	8.1%
힐	5620	7.7%
섬	5354	7.3%
아	5221	7.2%
덴	5221	7.2%
비	3468	4.8%
치	3468	4.8%
Other values (29)	18409	25.3%

예약자성별코드
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

1	11647
0	6470
2	4739

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	22856
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
1	11647	51.0%
0	6470	28.3%
2	4739	20.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	11647	51.0%
0	6470	28.3%
2	4739	20.7%

Most occurring characters

Value	Count	Frequency (%)
1	11647	51.0%
0	6470	28.3%
2	4739	20.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	22856	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	11647	51.0%
0	6470	28.3%
2	4739	20.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	22856	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	11647	51.0%
0	6470	28.3%
2	4739	20.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22856	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	11647	51.0%
0	6470	28.3%
2	4739	20.7%

예약자연령대코드
Real number (ℝ_≥0)

MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	7605
Missing (%)	33.3%
Infinite	0
Infinite (%)	0.0%
Mean	41.08976461

Minimum	10
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	10
5-th percentile	30
Q1	40
median	40
Q3	50
95-th percentile	50
Maximum	70
Range	60
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	8.056717439
Coefficient of variation (CV)	0.1960760183
Kurtosis	0.3442558415
Mean	41.08976461
Median Absolute Deviation (MAD)	0
Skewness	-0.1562504474
Sum	626660
Variance	64.91069589
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
40	7743	33.9%
50	4105	18.0%
30	2599	11.4%
60	431	1.9%
20	341	1.5%
10	20	0.1%
70	12	0.1%
(Missing)	7605	33.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	20	0.1%
20	341	1.5%
30	2599	11.4%
40	7743	33.9%
50	4105	18.0%
60	431	1.9%
70	12	0.1%

Value	Count	Frequency (%)
70	12	0.1%
60	431	1.9%
50	4105	18.0%
40	7743	33.9%
30	2599	11.4%
20	341	1.5%
10	20	0.1%

예약자거주지값
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

도민	22034
비도민	822

Length

Max length	3
Median length	2
Mean length	2.035964298
Min length	2

Characters and Unicode

Total characters	46534
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	도민
2nd row	도민
3rd row	도민
4th row	도민
5th row	도민

Common Values

Value	Count	Frequency (%)
도민	22034	96.4%
비도민	822	3.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
도민	22034	96.4%
비도민	822	3.6%

Most occurring characters

Value	Count	Frequency (%)
도	22856	49.1%
민	22856	49.1%
비	822	1.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	46534	100.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	22856	49.1%
민	22856	49.1%
비	822	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	46534	100.0%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	22856	49.1%
민	22856	49.1%
비	822	1.8%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	46534	100.0%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
도	22856	49.1%
민	22856	49.1%
비	822	1.8%

예약자평균값
Categorical

HIGH CARDINALITY
MISSING

Distinct	116
Distinct (%)	1.0%
Missing	11299
Missing (%)	49.4%
Memory size	178.7 KiB

20	1892
18	1267
15	1095
25	887
10	861
Other values (111)	5555

Length

Max length	11
Median length	2
Mean length	2.064895734
Min length	1

Characters and Unicode

Total characters	23864
Distinct characters	41
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	21 ?
Unique (%)	0.2%

Sample

1st row	12
2nd row	20
3rd row	20
4th row	14
5th row	25

Common Values

Value	Count	Frequency (%)
20	1892	8.3%
18	1267	5.5%
15	1095	4.8%
25	887	3.9%
10	861	3.8%
30	804	3.5%
100	710	3.1%
90	430	1.9%
95	331	1.4%
12	306	1.3%
Other values (106)	2974	13.0%
(Missing)	11299	49.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20	1897	16.4%
18	1270	11.0%
15	1101	9.5%
25	889	7.7%
10	861	7.4%
30	805	7.0%
100	710	6.1%
90	430	3.7%
95	331	2.9%
12	306	2.6%
Other values (94)	2958	25.6%

Most occurring characters

Value	Count	Frequency (%)
0	5971	25.0%
1	5405	22.6%
2	3996	16.7%
5	2624	11.0%
8	1954	8.2%
3	1572	6.6%
9	1307	5.5%
6	336	1.4%
4	335	1.4%
7	222	0.9%
Other values (31)	142	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23722	99.4%
Other Letter	104	0.4%
Math Symbol	27	0.1%
Other Punctuation	6	< 0.1%
Lowercase Letter	4	< 0.1%
Space Separator	1	< 0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
휘	12	11.5%
인	9	8.7%
수	9	8.7%
택	9	8.7%
김	9	8.7%
오	9	8.7%
민	6	5.8%
경	5	4.8%
종	4	3.8%
이	4	3.8%
Other values (13)	28	26.9%

Decimal Number

Value	Count	Frequency (%)
0	5971	25.2%
1	5405	22.8%
2	3996	16.8%
5	2624	11.1%
8	1954	8.2%
3	1572	6.6%
9	1307	5.5%
6	336	1.4%
4	335	1.4%
7	222	0.9%

Lowercase Letter

Value	Count	Frequency (%)
t	1	25.0%
f	1	25.0%
e	1	25.0%
l	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
*	5	83.3%
#	1	16.7%

Math Symbol

Value	Count	Frequency (%)
+	27	100.0%

Space Separator

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23756	99.5%
Hangul	104	0.4%
Latin	4	< 0.1%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
휘	12	11.5%
인	9	8.7%
수	9	8.7%
택	9	8.7%
김	9	8.7%
오	9	8.7%
민	6	5.8%
경	5	4.8%
종	4	3.8%
이	4	3.8%
Other values (13)	28	26.9%

Common

Value	Count	Frequency (%)
0	5971	25.1%
1	5405	22.8%
2	3996	16.8%
5	2624	11.0%
8	1954	8.2%
3	1572	6.6%
9	1307	5.5%
6	336	1.4%
4	335	1.4%
7	222	0.9%
Other values (4)	34	0.1%

Latin

Value	Count	Frequency (%)
t	1	25.0%
f	1	25.0%
e	1	25.0%
l	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23760	99.6%
Hangul	104	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5971	25.1%
1	5405	22.7%
2	3996	16.8%
5	2624	11.0%
8	1954	8.2%
3	1572	6.6%
9	1307	5.5%
6	336	1.4%
4	335	1.4%
7	222	0.9%
Other values (8)	38	0.2%

Hangul

Value	Count	Frequency (%)
휘	12	11.5%
인	9	8.7%
수	9	8.7%
택	9	8.7%
김	9	8.7%
오	9	8.7%
민	6	5.8%
경	5	4.8%
종	4	3.8%
이	4	3.8%
Other values (13)	28	26.9%

예약자골프경력값
Categorical

MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	13356
Missing (%)	58.4%
Memory size	178.7 KiB

1~3년	3295
4~6년	2758
10년이상	2296
1년미만	1151

Length

Max length	5
Median length	4
Mean length	4.241684211
Min length	4

Characters and Unicode

Total characters	40296
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10년이상
2nd row	10년이상
3rd row	10년이상
4th row	10년이상
5th row	1년미만

Common Values

Value	Count	Frequency (%)
1~3년	3295	14.4%
4~6년	2758	12.1%
10년이상	2296	10.0%
1년미만	1151	5.0%
(Missing)	13356	58.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1~3년	3295	34.7%
4~6년	2758	29.0%
10년이상	2296	24.2%
1년미만	1151	12.1%

Most occurring characters

Value	Count	Frequency (%)
년	9500	23.6%
1	6742	16.7%
~	6053	15.0%
3	3295	8.2%
4	2758	6.8%
6	2758	6.8%
0	2296	5.7%
이	2296	5.7%
상	2296	5.7%
미	1151	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17849	44.3%
Other Letter	16394	40.7%
Math Symbol	6053	15.0%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
년	9500	57.9%
이	2296	14.0%
상	2296	14.0%
미	1151	7.0%
만	1151	7.0%

Decimal Number

Value	Count	Frequency (%)
1	6742	37.8%
3	3295	18.5%
4	2758	15.5%
6	2758	15.5%
0	2296	12.9%

Math Symbol

Value	Count	Frequency (%)
~	6053	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	23902	59.3%
Hangul	16394	40.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	6742	28.2%
~	6053	25.3%
3	3295	13.8%
4	2758	11.5%
6	2758	11.5%
0	2296	9.6%

Hangul

Value	Count	Frequency (%)
년	9500	57.9%
이	2296	14.0%
상	2296	14.0%
미	1151	7.0%
만	1151	7.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23902	59.3%
Hangul	16394	40.7%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
년	9500	57.9%
이	2296	14.0%
상	2296	14.0%
미	1151	7.0%
만	1151	7.0%

ASCII

Value	Count	Frequency (%)
1	6742	28.2%
~	6053	25.3%
3	3295	13.8%
4	2758	11.5%
6	2758	11.5%
0	2296	9.6%

예약자평균사용값
Categorical

MISSING

Distinct	5
Distinct (%)	0.1%
Missing	13358
Missing (%)	58.4%
Memory size	178.7 KiB

2회	2618
4회	2170
5회이상	1823
3회	1764
1회이하	1123

Length

Max length	4
Median length	2
Mean length	2.620341124
Min length	2

Characters and Unicode

Total characters	24888
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5회이상
2nd row	5회이상
3rd row	3회
4th row	4회
5th row	3회

Common Values

Value	Count	Frequency (%)
2회	2618	11.5%
4회	2170	9.5%
5회이상	1823	8.0%
3회	1764	7.7%
1회이하	1123	4.9%
(Missing)	13358	58.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2회	2618	27.6%
4회	2170	22.8%
5회이상	1823	19.2%
3회	1764	18.6%
1회이하	1123	11.8%

Most occurring characters

Value	Count	Frequency (%)
회	9498	38.2%
이	2946	11.8%
2	2618	10.5%
4	2170	8.7%
5	1823	7.3%
상	1823	7.3%
3	1764	7.1%
1	1123	4.5%
하	1123	4.5%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	15390	61.8%
Decimal Number	9498	38.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2618	27.6%
4	2170	22.8%
5	1823	19.2%
3	1764	18.6%
1	1123	11.8%

Other Letter

Value	Count	Frequency (%)
회	9498	61.7%
이	2946	19.1%
상	1823	11.8%
하	1123	7.3%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	15390	61.8%
Common	9498	38.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2618	27.6%
4	2170	22.8%
5	1823	19.2%
3	1764	18.6%
1	1123	11.8%

Hangul

Value	Count	Frequency (%)
회	9498	61.7%
이	2946	19.1%
상	1823	11.8%
하	1123	7.3%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	15390	61.8%
ASCII	9498	38.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
회	9498	61.7%
이	2946	19.1%
상	1823	11.8%
하	1123	7.3%

ASCII

Value	Count	Frequency (%)
2	2618	27.6%
4	2170	22.8%
5	1823	19.2%
3	1764	18.6%
1	1123	11.8%

예약자사용성향값
Categorical

HIGH CARDINALITY
MISSING

Distinct	236
Distinct (%)	2.6%
Missing	13918
Missing (%)	60.9%
Memory size	178.7 KiB

주중골프	1951
골프초년생	1700
주말골프	1479
정기골프	291
주중골프,오후골프	270
Other values (231)	3247

Length

Max length	52
Median length	4
Mean length	6.685723876
Min length	3

Characters and Unicode

Total characters	59757
Distinct characters	30
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	0.7%

Sample

1st row	주말골프
2nd row	주중골프,오후골프
3rd row	주중골프,오후골프
4th row	정기골프
5th row	골프초년생

Common Values

Value	Count	Frequency (%)
주중골프	1951	8.5%
골프초년생	1700	7.4%
주말골프	1479	6.5%
정기골프	291	1.3%
주중골프,오후골프	270	1.2%
새벽골프	255	1.1%
번개골프	230	1.0%
오후골프	189	0.8%
내기파	165	0.7%
제주여행	126	0.6%
Other values (226)	2282	10.0%
(Missing)	13918	60.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
주중골프	1951	21.8%
골프초년생	1700	19.0%
주말골프	1479	16.5%
정기골프	291	3.3%
주중골프,오후골프	270	3.0%
새벽골프	255	2.9%
번개골프	230	2.6%
오후골프	189	2.1%
내기파	165	1.8%
제주여행	126	1.4%
Other values (226)	2282	25.5%

Most occurring characters

Value	Count	Frequency (%)
골	11750	19.7%
프	11750	19.7%
주	6387	10.7%
,	4537	7.6%
중	3552	5.9%
초	2484	4.2%
년	2484	4.2%
생	2484	4.2%
말	2274	3.8%
기	1084	1.8%
Other values (20)	10971	18.4%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	55220	92.4%
Other Punctuation	4537	7.6%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
골	11750	21.3%
프	11750	21.3%
주	6387	11.6%
중	3552	6.4%
초	2484	4.5%
년	2484	4.5%
생	2484	4.5%
말	2274	4.1%
기	1084	2.0%
새	992	1.8%
Other values (19)	9979	18.1%

Other Punctuation

Value	Count	Frequency (%)
,	4537	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	55220	92.4%
Common	4537	7.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
골	11750	21.3%
프	11750	21.3%
주	6387	11.6%
중	3552	6.4%
초	2484	4.5%
년	2484	4.5%
생	2484	4.5%
말	2274	4.1%
기	1084	2.0%
새	992	1.8%
Other values (19)	9979	18.1%

Common

Value	Count	Frequency (%)
,	4537	100.0%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	55220	92.4%
ASCII	4537	7.6%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
골	11750	21.3%
프	11750	21.3%
주	6387	11.6%
중	3552	6.4%
초	2484	4.5%
년	2484	4.5%
생	2484	4.5%
말	2274	4.1%
기	1084	2.0%
새	992	1.8%
Other values (19)	9979	18.1%

ASCII

Value	Count	Frequency (%)
,	4537	100.0%

해당년도
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

2021년	15224
2020년	6832
2022년	800

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	114280
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2022년
2nd row	2022년
3rd row	2022년
4th row	2022년
5th row	2022년

Common Values

Value	Count	Frequency (%)
2021년	15224	66.6%
2020년	6832	29.9%
2022년	800	3.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2021년	15224	66.6%
2020년	6832	29.9%
2022년	800	3.5%

Most occurring characters

Value	Count	Frequency (%)
2	46512	40.7%
0	29688	26.0%
년	22856	20.0%
1	15224	13.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	91424	80.0%
Other Letter	22856	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	46512	50.9%
0	29688	32.5%
1	15224	16.7%

Other Letter

Value	Count	Frequency (%)
년	22856	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	91424	80.0%
Hangul	22856	20.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	46512	50.9%
0	29688	32.5%
1	15224	16.7%

Hangul

Value	Count	Frequency (%)
년	22856	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91424	80.0%
Hangul	22856	20.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	46512	50.9%
0	29688	32.5%
1	15224	16.7%

Hangul

Value	Count	Frequency (%)
년	22856	100.0%

거주자금액나눔
Categorical

HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

90,000 ~ 110,000원	6791
90,000원 이하	4124
140,000 ~ 160,000원	3356
130,000 ~ 140,000원	2267
110,000 ~ 120,000원	2101
Other values (4)	4217

Length

Max length	18
Median length	18
Mean length	16.195091
Min length	10

Characters and Unicode

Total characters	370155
Distinct characters	15
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	140,000 ~ 160,000원
2nd row	140,000 ~ 160,000원
3rd row	130,000 ~ 140,000원
4th row	140,000 ~ 160,000원
5th row	130,000 ~ 140,000원

Common Values

Value	Count	Frequency (%)
90,000 ~ 110,000원	6791	29.7%
90,000원 이하	4124	18.0%
140,000 ~ 160,000원	3356	14.7%
130,000 ~ 140,000원	2267	9.9%
110,000 ~ 120,000원	2101	9.2%
120,000 ~ 130,000원	1876	8.2%
160,000 ~ 180,000원	1689	7.4%
180,000 ~ 200,000원	442	1.9%
200,000원 이상	210	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	18522	28.8%
90,000	6791	10.6%
110,000원	6791	10.6%
90,000원	4124	6.4%
이하	4124	6.4%
140,000	3356	5.2%
160,000원	3356	5.2%
130,000	2267	3.5%
140,000원	2267	3.5%
120,000원	2101	3.3%
Other values (8)	10535	16.4%

Most occurring characters

Value	Count	Frequency (%)
0	166164	44.9%
,	41378	11.2%
	41378	11.2%
1	38703	10.5%
원	22856	6.2%
~	18522	5.0%
9	10915	2.9%
4	5623	1.5%
6	5045	1.4%
2	4629	1.3%
Other values (5)	14942	4.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	237353	64.1%
Other Punctuation	41378	11.2%
Space Separator	41378	11.2%
Other Letter	31524	8.5%
Math Symbol	18522	5.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	166164	70.0%
1	38703	16.3%
9	10915	4.6%
4	5623	2.4%
6	5045	2.1%
2	4629	2.0%
3	4143	1.7%
8	2131	0.9%

Other Letter

Value	Count	Frequency (%)
원	22856	72.5%
이	4334	13.7%
하	4124	13.1%
상	210	0.7%

Other Punctuation

Value	Count	Frequency (%)
,	41378	100.0%

Space Separator

Value	Count	Frequency (%)
	41378	100.0%

Math Symbol

Value	Count	Frequency (%)
~	18522	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	338631	91.5%
Hangul	31524	8.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	166164	49.1%
,	41378	12.2%
	41378	12.2%
1	38703	11.4%
~	18522	5.5%
9	10915	3.2%
4	5623	1.7%
6	5045	1.5%
2	4629	1.4%
3	4143	1.2%

Hangul

Value	Count	Frequency (%)
원	22856	72.5%
이	4334	13.7%
하	4124	13.1%
상	210	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338631	91.5%
Hangul	31524	8.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	166164	49.1%
,	41378	12.2%
	41378	12.2%
1	38703	11.4%
~	18522	5.5%
9	10915	3.2%
4	5623	1.7%
6	5045	1.5%
2	4629	1.4%
3	4143	1.2%

Hangul

Value	Count	Frequency (%)
원	22856	72.5%
이	4334	13.7%
하	4124	13.1%
상	210	0.7%

비거주자나눔
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

90,000원 이하	6211
180,000 ~ 200,000원	4393
200,000원 이상	4261
140,000 ~ 160,000원	2720
160,000 ~ 180,000원	2064
Other values (4)	3207

Length

Max length	18
Median length	17
Mean length	14.45817291
Min length	10

Characters and Unicode

Total characters	330456
Distinct characters	15
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	200,000원 이상
2nd row	180,000 ~ 200,000원
3rd row	130,000 ~ 140,000원
4th row	180,000 ~ 200,000원
5th row	130,000 ~ 140,000원

Common Values

Value	Count	Frequency (%)
90,000원 이하	6211	27.2%
180,000 ~ 200,000원	4393	19.2%
200,000원 이상	4261	18.6%
140,000 ~ 160,000원	2720	11.9%
160,000 ~ 180,000원	2064	9.0%
90,000 ~ 110,000원	1437	6.3%
130,000 ~ 140,000원	878	3.8%
120,000 ~ 130,000원	471	2.1%
110,000 ~ 120,000원	421	1.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	12384	21.3%
200,000원	8654	14.9%
90,000원	6211	10.7%
이하	6211	10.7%
180,000	4393	7.6%
이상	4261	7.3%
140,000	2720	4.7%
160,000원	2720	4.7%
180,000원	2064	3.6%
160,000	2064	3.6%
Other values (8)	6414	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	149614	45.3%
,	35240	10.7%
	35240	10.7%
원	22856	6.9%
1	20796	6.3%
~	12384	3.7%
이	10472	3.2%
2	9546	2.9%
9	7648	2.3%
8	6457	2.0%
Other values (5)	20203	6.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	203792	61.7%
Other Letter	43800	13.3%
Other Punctuation	35240	10.7%
Space Separator	35240	10.7%
Math Symbol	12384	3.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	149614	73.4%
1	20796	10.2%
2	9546	4.7%
9	7648	3.8%
8	6457	3.2%
6	4784	2.3%
4	3598	1.8%
3	1349	0.7%

Other Letter

Value	Count	Frequency (%)
원	22856	52.2%
이	10472	23.9%
하	6211	14.2%
상	4261	9.7%

Other Punctuation

Value	Count	Frequency (%)
,	35240	100.0%

Space Separator

Value	Count	Frequency (%)
	35240	100.0%

Math Symbol

Value	Count	Frequency (%)
~	12384	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	286656	86.7%
Hangul	43800	13.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	149614	52.2%
,	35240	12.3%
	35240	12.3%
1	20796	7.3%
~	12384	4.3%
2	9546	3.3%
9	7648	2.7%
8	6457	2.3%
6	4784	1.7%
4	3598	1.3%

Hangul

Value	Count	Frequency (%)
원	22856	52.2%
이	10472	23.9%
하	6211	14.2%
상	4261	9.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	286656	86.7%
Hangul	43800	13.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	149614	52.2%
,	35240	12.3%
	35240	12.3%
1	20796	7.3%
~	12384	4.3%
2	9546	3.3%
9	7648	2.7%
8	6457	2.3%
6	4784	1.7%
4	3598	1.3%

Hangul

Value	Count	Frequency (%)
원	22856	52.2%
이	10472	23.9%
하	6211	14.2%
상	4261	9.7%

예약년월일
Categorical

HIGH CARDINALITY

Distinct	592
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

2021-07-21	172
2021-09-24	155
2021-09-23	146
2021-08-31	140
2021-09-17	136
Other values (587)	22107

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	228560
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	0.1%

Sample

1st row	2022-03-01
2nd row	2022-03-01
3rd row	2022-03-01
4th row	2022-03-01
5th row	2022-03-01

Common Values

Value	Count	Frequency (%)
2021-07-21	172	0.8%
2021-09-24	155	0.7%
2021-09-23	146	0.6%
2021-08-31	140	0.6%
2021-09-17	136	0.6%
2021-09-14	133	0.6%
2021-09-02	126	0.6%
2021-04-06	124	0.5%
2021-09-03	124	0.5%
2021-08-02	123	0.5%
Other values (582)	21477	94.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-07-21	172	0.8%
2021-09-24	155	0.7%
2021-09-23	146	0.6%
2021-08-31	140	0.6%
2021-09-17	136	0.6%
2021-09-14	133	0.6%
2021-09-02	126	0.6%
2021-04-06	124	0.5%
2021-09-03	124	0.5%
2021-08-03	123	0.5%
Other values (582)	21477	94.0%

Most occurring characters

Value	Count	Frequency (%)
0	61212	26.8%
2	57626	25.2%
-	45712	20.0%
1	28366	12.4%
9	6156	2.7%
7	6020	2.6%
8	5632	2.5%
6	5184	2.3%
3	5092	2.2%
4	3831	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	182848	80.0%
Dash Punctuation	45712	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	61212	33.5%
2	57626	31.5%
1	28366	15.5%
9	6156	3.4%
7	6020	3.3%
8	5632	3.1%
6	5184	2.8%
3	5092	2.8%
4	3831	2.1%
5	3729	2.0%

Dash Punctuation

Value	Count	Frequency (%)
-	45712	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	228560	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	61212	26.8%
2	57626	25.2%
-	45712	20.0%
1	28366	12.4%
9	6156	2.7%
7	6020	2.6%
8	5632	2.5%
6	5184	2.3%
3	5092	2.2%
4	3831	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	228560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	61212	26.8%
2	57626	25.2%
-	45712	20.0%
1	28366	12.4%
9	6156	2.7%
7	6020	2.6%
8	5632	2.5%
6	5184	2.3%
3	5092	2.2%
4	3831	1.7%

사용년월일
Categorical

HIGH CARDINALITY

Distinct	633
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

2021-08-16	198
2021-09-22	146
2021-09-26	144
2021-06-30	138
2021-09-24	137
Other values (628)	22093

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	228560
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	0.1%

Sample

1st row	2022-03-09
2nd row	2022-03-15
3rd row	2022-03-14
4th row	2022-03-15
5th row	2022-03-14

Common Values

Value	Count	Frequency (%)
2021-08-16	198	0.9%
2021-09-22	146	0.6%
2021-09-26	144	0.6%
2021-06-30	138	0.6%
2021-09-24	137	0.6%
2021-07-30	132	0.6%
2021-09-25	130	0.6%
2021-10-11	127	0.6%
2021-09-23	121	0.5%
2021-09-27	118	0.5%
Other values (623)	21465	93.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2021-08-16	198	0.9%
2021-09-22	146	0.6%
2021-09-26	144	0.6%
2021-06-30	138	0.6%
2021-09-24	137	0.6%
2021-07-30	132	0.6%
2021-09-25	130	0.6%
2021-10-11	127	0.6%
2021-09-23	121	0.5%
2021-09-18	118	0.5%
Other values (623)	21465	93.9%

Most occurring characters

Value	Count	Frequency (%)
0	59866	26.2%
2	57517	25.2%
-	45712	20.0%
1	30849	13.5%
9	6052	2.6%
7	5678	2.5%
8	5635	2.5%
3	5403	2.4%
6	4579	2.0%
5	3737	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	182848	80.0%
Dash Punctuation	45712	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	59866	32.7%
2	57517	31.5%
1	30849	16.9%
9	6052	3.3%
7	5678	3.1%
8	5635	3.1%
3	5403	3.0%
6	4579	2.5%
5	3737	2.0%
4	3532	1.9%

Dash Punctuation

Value	Count	Frequency (%)
-	45712	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	228560	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	59866	26.2%
2	57517	25.2%
-	45712	20.0%
1	30849	13.5%
9	6052	2.6%
7	5678	2.5%
8	5635	2.5%
3	5403	2.4%
6	4579	2.0%
5	3737	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	228560	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	59866	26.2%
2	57517	25.2%
-	45712	20.0%
1	30849	13.5%
9	6052	2.6%
7	5678	2.5%
8	5635	2.5%
3	5403	2.4%
6	4579	2.0%
5	3737	1.6%

날짜차이
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	81
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.64044452

Minimum	0
Maximum	85
Zeros	12
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	4
median	8
Q3	15
95-th percentile	33
Maximum	85
Range	85
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	10.96132932
Coefficient of variation (CV)	0.9416589975
Kurtosis	5.157914438
Mean	11.64044452
Median Absolute Deviation (MAD)	5
Skewness	2.007915631
Sum	266054
Variance	120.1507405
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1864	8.2%
6	1473	6.4%
3	1462	6.4%
2	1438	6.3%
4	1434	6.3%
5	1360	6.0%
7	1332	5.8%
8	1169	5.1%
9	1067	4.7%
10	961	4.2%
Other values (71)	9296	40.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	12	0.1%
1	1864	8.2%
2	1438	6.3%
3	1462	6.4%
4	1434	6.3%
5	1360	6.0%
6	1473	6.4%
7	1332	5.8%
8	1169	5.1%
9	1067	4.7%

Value	Count	Frequency (%)
85	1	< 0.1%
84	1	< 0.1%
80	1	< 0.1%
77	1	< 0.1%
76	2	< 0.1%
75	1	< 0.1%
74	2	< 0.1%
73	2	< 0.1%
72	2	< 0.1%
71	2	< 0.1%

날짜차이요일
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

3 ~ 7일전	7061
8 ~ 15일	7059
16일 ~	5422
1 ~ 2일전	3302
당일예약	12

Length

Max length	7
Median length	7
Mean length	6.523976199
Min length	4

Characters and Unicode

Total characters	149112
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8 ~ 15일
2nd row	8 ~ 15일
3rd row	8 ~ 15일
4th row	8 ~ 15일
5th row	8 ~ 15일

Common Values

Value	Count	Frequency (%)
3 ~ 7일전	7061	30.9%
8 ~ 15일	7059	30.9%
16일 ~	5422	23.7%
1 ~ 2일전	3302	14.4%
당일예약	12	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	22844	36.2%
3	7061	11.2%
7일전	7061	11.2%
8	7059	11.2%
15일	7059	11.2%
16일	5422	8.6%
1	3302	5.2%
2일전	3302	5.2%
당일예약	12	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	40266	27.0%
일	22856	15.3%
~	22844	15.3%
1	15783	10.6%
전	10363	6.9%
3	7061	4.7%
7	7061	4.7%
8	7059	4.7%
5	7059	4.7%
6	5422	3.6%
Other values (4)	3338	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	52747	35.4%
Space Separator	40266	27.0%
Other Letter	33255	22.3%
Math Symbol	22844	15.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	15783	29.9%
3	7061	13.4%
7	7061	13.4%
8	7059	13.4%
5	7059	13.4%
6	5422	10.3%
2	3302	6.3%

Other Letter

Value	Count	Frequency (%)
일	22856	68.7%
전	10363	31.2%
당	12	< 0.1%
예	12	< 0.1%
약	12	< 0.1%

Space Separator

Value	Count	Frequency (%)
	40266	100.0%

Math Symbol

Value	Count	Frequency (%)
~	22844	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	115857	77.7%
Hangul	33255	22.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	40266	34.8%
~	22844	19.7%
1	15783	13.6%
3	7061	6.1%
7	7061	6.1%
8	7059	6.1%
5	7059	6.1%
6	5422	4.7%
2	3302	2.9%

Hangul

Value	Count	Frequency (%)
일	22856	68.7%
전	10363	31.2%
당	12	< 0.1%
예	12	< 0.1%
약	12	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115857	77.7%
Hangul	33255	22.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	40266	34.8%
~	22844	19.7%
1	15783	13.6%
3	7061	6.1%
7	7061	6.1%
8	7059	6.1%
5	7059	6.1%
6	5422	4.7%
2	3302	2.9%

Hangul

Value	Count	Frequency (%)
일	22856	68.7%
전	10363	31.2%
당	12	< 0.1%
예	12	< 0.1%
약	12	< 0.1%

예약시간(시)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	27
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.29497725

Minimum	0
Maximum	45
Zeros	231
Zeros (%)	1.0%
Negative	0
Negative (%)	0.0%
Memory size	178.7 KiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	11
median	14
Q3	18
95-th percentile	21
Maximum	45
Range	45
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.520466903
Coefficient of variation (CV)	0.3162276388
Kurtosis	0.2785970045
Mean	14.29497725
Median Absolute Deviation (MAD)	3
Skewness	-0.3279447803
Sum	326726
Variance	20.43462102
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
13	1810	7.9%
16	1793	7.8%
11	1785	7.8%
15	1780	7.8%
14	1771	7.7%
17	1729	7.6%
10	1684	7.4%
12	1679	7.3%
18	1458	6.4%
9	1269	5.6%
Other values (17)	6098	26.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	231	1.0%
1	120	0.5%
2	71	0.3%
3	45	0.2%
4	32	0.1%
5	75	0.3%
6	214	0.9%
7	322	1.4%
8	605	2.6%
9	1269	5.6%

Value	Count	Frequency (%)
45	1	< 0.1%
28	2	< 0.1%
25	1	< 0.1%
23	444	1.9%
22	681	3.0%
21	898	3.9%
20	1113	4.9%
19	1243	5.4%
18	1458	6.4%
17	1729	7.6%

예약시간대별
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	4
Missing (%)	< 0.1%
Memory size	178.7 KiB

12시 ~ 18시	10562
18시 ~ 24시	6068
07시 ~ 12시	5665
01시 ~ 07시	557

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	205668
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	07시 ~ 12시
2nd row	07시 ~ 12시
3rd row	07시 ~ 12시
4th row	07시 ~ 12시
5th row	07시 ~ 12시

Common Values

Value	Count	Frequency (%)
12시 ~ 18시	10562	46.2%
18시 ~ 24시	6068	26.5%
07시 ~ 12시	5665	24.8%
01시 ~ 07시	557	2.4%
(Missing)	4	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	22852	33.3%
18시	16630	24.3%
12시	16227	23.7%
07시	6222	9.1%
24시	6068	8.9%
01시	557	0.8%

Most occurring characters

Value	Count	Frequency (%)
시	45704	22.2%
	45704	22.2%
1	33414	16.2%
~	22852	11.1%
2	22295	10.8%
8	16630	8.1%
0	6779	3.3%
7	6222	3.0%
4	6068	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	91408	44.4%
Other Letter	45704	22.2%
Space Separator	45704	22.2%
Math Symbol	22852	11.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	33414	36.6%
2	22295	24.4%
8	16630	18.2%
0	6779	7.4%
7	6222	6.8%
4	6068	6.6%

Other Letter

Value	Count	Frequency (%)
시	45704	100.0%

Space Separator

Value	Count	Frequency (%)
	45704	100.0%

Math Symbol

Value	Count	Frequency (%)
~	22852	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	159964	77.8%
Hangul	45704	22.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
	45704	28.6%
1	33414	20.9%
~	22852	14.3%
2	22295	13.9%
8	16630	10.4%
0	6779	4.2%
7	6222	3.9%
4	6068	3.8%

Hangul

Value	Count	Frequency (%)
시	45704	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	159964	77.8%
Hangul	45704	22.2%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	45704	100.0%

ASCII

Value	Count	Frequency (%)
	45704	28.6%
1	33414	20.9%
~	22852	14.3%
2	22295	13.9%
8	16630	10.4%
0	6779	4.2%
7	6222	3.9%
4	6068	3.8%

사용일통계
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	178.7 KiB

12시 ~	8418
06시 ~ 08시	8226
08시 ~ 10시	4567
10시 ~ 12시	1645

Length

Max length	9
Median length	9
Mean length	7.526776339
Min length	5

Characters and Unicode

Total characters	172032
Distinct characters	8
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	08시 ~ 10시
2nd row	12시 ~
3rd row	06시 ~ 08시
4th row	12시 ~
5th row	06시 ~ 08시

Common Values

Value	Count	Frequency (%)
12시 ~	8418	36.8%
06시 ~ 08시	8226	36.0%
08시 ~ 10시	4567	20.0%
10시 ~ 12시	1645	7.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	22856	38.0%
08시	12793	21.3%
12시	10063	16.7%
06시	8226	13.7%
10시	6212	10.3%

Most occurring characters

Value	Count	Frequency (%)
시	37294	21.7%
	37294	21.7%
0	27231	15.8%
~	22856	13.3%
1	16275	9.5%
8	12793	7.4%
2	10063	5.8%
6	8226	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	74588	43.4%
Other Letter	37294	21.7%
Space Separator	37294	21.7%
Math Symbol	22856	13.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	27231	36.5%
1	16275	21.8%
8	12793	17.2%
2	10063	13.5%
6	8226	11.0%

Other Letter

Value	Count	Frequency (%)
시	37294	100.0%

Space Separator

Value	Count	Frequency (%)
	37294	100.0%

Math Symbol

Value	Count	Frequency (%)
~	22856	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	134738	78.3%
Hangul	37294	21.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
	37294	27.7%
0	27231	20.2%
~	22856	17.0%
1	16275	12.1%
8	12793	9.5%
2	10063	7.5%
6	8226	6.1%

Hangul

Value	Count	Frequency (%)
시	37294	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	134738	78.3%
Hangul	37294	21.7%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
시	37294	100.0%

ASCII

Value	Count	Frequency (%)
	37294	27.7%
0	27231	20.2%
~	22856	17.0%
1	16275	12.1%
8	12793	9.5%
2	10063	7.5%
6	8226	6.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	골프장명	골프장지역명	골프장멤버십값	골프장유형값	사용일자	사용시간값	사용유형명	거주자금액	비거주자금액	결제수단명	총인원수	거주자인원수	예약일자	예약시간	판매업체명	예약자성별코드	예약자연령대코드	예약자거주지값	예약자평균값	예약자골프경력값	예약자평균사용값	예약자사용성향값	해당년도	거주자금액나눔	비거주자나눔	예약년월일	사용년월일	날짜차이	날짜차이요일	예약시간(시)	예약시간대별	사용일통계
0	아덴힐GC	서부권	대중제	18	20220309	852	새별	155000	220000	현장결제	4	4	20220301	81639	아덴힐GC	1	50.0	도민	12	10년이상	5회이상	주말골프	2022년	140,000 ~ 160,000원	200,000원 이상	2022-03-01	2022-03-09	8	8 ~ 15일	8	07시 ~ 12시	08시 ~ 10시
1	라온GC	서부권	대중제	27	20220315	1235	LAKE	152500	182500	현장결제	4	4	20220301	81741	라온GC	1	NaN	도민	20	10년이상	5회이상	주중골프,오후골프	2022년	140,000 ~ 160,000원	180,000 ~ 200,000원	2022-03-01	2022-03-15	14	8 ~ 15일	8	07시 ~ 12시	12시 ~
2	그린필드CC	제주시내권	회원제	18	20220314	756	M	132000	132000	선결제	4	4	20220301	100047	(주)부민가자투어	1	NaN	도민	20	NaN	NaN	NaN	2022년	130,000 ~ 140,000원	130,000 ~ 140,000원	2022-03-01	2022-03-14	13	8 ~ 15일	10	07시 ~ 12시	06시 ~ 08시
3	라온GC	서부권	대중제	27	20220315	1228	LAKE	152500	182500	현장결제	4	4	20220301	82312	라온GC	1	60.0	도민	14	10년이상	3회	주중골프,오후골프	2022년	140,000 ~ 160,000원	180,000 ~ 200,000원	2022-03-01	2022-03-15	14	8 ~ 15일	8	07시 ~ 12시	12시 ~
4	그린필드CC	제주시내권	회원제	18	20220314	749	M	132000	132000	선결제	4	4	20220301	100053	(주)부민가자투어	2	40.0	도민	25	NaN	NaN	NaN	2022년	130,000 ~ 140,000원	130,000 ~ 140,000원	2022-03-01	2022-03-14	13	8 ~ 15일	10	07시 ~ 12시	06시 ~ 08시
5	아덴힐GC	서부권	대중제	18	20220308	1135	왕이메	130000	190000	현장결제	4	4	20220301	103335	아덴힐GC	1	40.0	도민	15	10년이상	4회	정기골프	2022년	130,000 ~ 140,000원	180,000 ~ 200,000원	2022-03-01	2022-03-08	7	3 ~ 7일전	10	07시 ~ 12시	10시 ~ 12시
6	아덴힐GC	서부권	대중제	18	20220304	1231	새별	130000	190000	현장결제	4	4	20220301	105715	아덴힐GC	1	50.0	도민	10	NaN	NaN	NaN	2022년	130,000 ~ 140,000원	180,000 ~ 200,000원	2022-03-01	2022-03-04	3	3 ~ 7일전	10	07시 ~ 12시	12시 ~
7	아덴힐GC	서부권	대중제	18	20220310	1313	왕이메	130000	190000	현장결제	4	4	20220301	114220	아덴힐GC	1	30.0	도민	32	1년미만	3회	골프초년생	2022년	130,000 ~ 140,000원	180,000 ~ 200,000원	2022-03-01	2022-03-10	9	8 ~ 15일	11	07시 ~ 12시	12시 ~
8	아덴힐GC	서부권	대중제	18	20220308	1128	왕이메	130000	190000	현장결제	4	4	20220301	114628	아덴힐GC	2	40.0	도민	20	4~6년	4회	골프초년생	2022년	130,000 ~ 140,000원	180,000 ~ 200,000원	2022-03-01	2022-03-08	7	3 ~ 7일전	11	07시 ~ 12시	10시 ~ 12시
9	아덴힐GC	서부권	대중제	18	20220310	817	새별	130000	190000	현장결제	4	4	20220301	115016	아덴힐GC	2	40.0	도민	NaN	NaN	NaN	NaN	2022년	130,000 ~ 140,000원	180,000 ~ 200,000원	2022-03-01	2022-03-10	9	8 ~ 15일	11	07시 ~ 12시	08시 ~ 10시

Last rows

	골프장명	골프장지역명	골프장멤버십값	골프장유형값	사용일자	사용시간값	사용유형명	거주자금액	비거주자금액	결제수단명	총인원수	거주자인원수	비거주자인원수	예약일자	예약시간	판매업체명	예약자성별코드	예약자연령대코드	예약자거주지값	예약자평균값	예약자골프경력값	예약자평균사용값	예약자사용성향값	해당년도	거주자금액나눔	비거주자나눔	예약년월일	사용년월일	날짜차이	날짜차이요일	예약시간(시)	예약시간대별	사용일통계
22846	해비치CC	동부권	회원제+대중제	36	20211031	1241	VALLEY	170000	230000	현장결제	4	4	0	20211021	125358	해비치CC	1	30.0	도민	7	NaN	NaN	NaN	2021년	160,000 ~ 180,000원	200,000원 이상	2021-10-21	2021-10-31	10	8 ~ 15일	12	12시 ~ 18시	12시 ~
22847	해비치CC	동부권	회원제+대중제	36	20211030	1159	VALLEY	170000	230000	현장결제	4	4	0	20211021	155644	해비치CC	1	40.0	도민	NaN	1~3년	1회이하	골프초년생	2021년	160,000 ~ 180,000원	200,000원 이상	2021-10-21	2021-10-30	9	8 ~ 15일	15	12시 ~ 18시	10시 ~ 12시
22848	제주CC	제주시권	대중제	18	20211101	724	랜덤	135000	135000	선결제	4	4	0	20211021	162429	슬기로운골프생활	1	30.0	도민	NaN	1~3년	1회이하	골프초년생,주중골프	2021년	130,000 ~ 140,000원	130,000 ~ 140,000원	2021-10-21	2021-11-01	11	8 ~ 15일	16	12시 ~ 18시	06시 ~ 08시
22849	해비치CC	동부권	회원제+대중제	36	20211025	726	PALM	160000	220000	현장결제	4	4	0	20211021	171309	해비치CC	1	40.0	도민	15	4~6년	4회	내기파,번개골프	2021년	160,000 ~ 180,000원	200,000원 이상	2021-10-21	2021-10-25	4	3 ~ 7일전	17	12시 ~ 18시	06시 ~ 08시
22850	라온GC	서부권	대중제	27	20211024	1303	STONE	192500	222500	현장결제	4	2	2	20211019	85302	라온GC	1	30.0	도민	18	NaN	NaN	NaN	2021년	180,000 ~ 200,000원	200,000원 이상	2021-10-19	2021-10-24	5	3 ~ 7일전	8	07시 ~ 12시	12시 ~
22851	제주CC	제주시권	대중제	18	20211030	1233	랜덤	165000	165000	선결제	4	4	0	20211024	144906	슬기로운골프생활	1	NaN	도민	NaN	NaN	NaN	NaN	2021년	160,000 ~ 180,000원	160,000 ~ 180,000원	2021-10-24	2021-10-30	6	3 ~ 7일전	14	12시 ~ 18시	12시 ~
22852	제주CC	제주시권	대중제	18	20211102	717	랜덤	135000	135000	선결제	4	4	0	20211024	144915	슬기로운골프생활	2	50.0	도민	24	4~6년	2회	새벽골프	2021년	130,000 ~ 140,000원	130,000 ~ 140,000원	2021-10-24	2021-11-02	9	8 ~ 15일	14	12시 ~ 18시	06시 ~ 08시
22853	해비치CC	동부권	회원제+대중제	36	20211030	1248	PALM	200000	260000	현장결제	4	4	0	20211028	133253	해비치CC	0	NaN	도민	NaN	1년미만	4회	골프초년생,주중골프,음주가무	2021년	200,000원 이상	200,000원 이상	2021-10-28	2021-10-30	2	1 ~ 2일전	13	12시 ~ 18시	12시 ~
22854	해비치CC	동부권	회원제+대중제	36	20211101	712	LAKE	150000	190000	현장결제	4	4	0	20211029	163936	해비치CC	1	50.0	도민	18	NaN	NaN	NaN	2021년	140,000 ~ 160,000원	180,000 ~ 200,000원	2021-10-29	2021-11-01	3	3 ~ 7일전	16	12시 ~ 18시	06시 ~ 08시
22855	해비치CC	동부권	회원제+대중제	36	20211106	712	LAKE	190000	230000	현장결제	4	3	1	20211029	164201	해비치CC	1	30.0	도민	NaN	4~6년	4회	골프초년생	2021년	180,000 ~ 200,000원	200,000원 이상	2021-10-29	2021-11-06	8	8 ~ 15일	16	12시 ~ 18시	06시 ~ 08시

Most frequently occurring

	골프장명	골프장지역명	골프장멤버십값	골프장유형값	사용일자	사용시간값	사용유형명	거주자금액	비거주자금액	결제수단명	총인원수	거주자인원수	비거주자인원수	예약일자	예약시간	판매업체명	예약자성별코드	예약자연령대코드	예약자거주지값	예약자평균값	예약자골프경력값	예약자평균사용값	예약자사용성향값	해당년도	거주자금액나눔	비거주자나눔	예약년월일	사용년월일	날짜차이	날짜차이요일	예약시간(시)	예약시간대별	사용일통계	# duplicates
0	더클래식CC	동부권	대중제	18	20210707	705	대중제(Valley)	70000	90000	현장결제	4	4	0	20210617	115910	섬프로	1	50.0	도민	12	10년이상	4회	주말골프	2021년	90,000원 이하	90,000 ~ 110,000원	2021-06-17	2021-07-07	20	16일 ~	11	07시 ~ 12시	06시 ~ 08시	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Most occurring scripts

Most frequent character per script

Hangul

Most occurring blocks

Most frequent character per block

Hangul

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Uppercase Letter

Lowercase Letter

Decimal Number

Close Punctuation

Open Punctuation

Space Separator

Math Symbol

Other Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script